Journal:

Article Title: Replicate PCR Testing and Probit Analysis for Detection and Quantitation of Chlamydia pneumoniae in Clinical Specimens

doi: 10.1128/JCM.39.5.1796-1801.2001

Figure Lengend Snippet: Number of positives per 10 replicates versus the concentration of C. pneumoniae ATCC VR-1310 for non-nested PCR (A) and nested PCR (B) and a regression curve determined by probit regression analysis (SPSS).

Article Snippet: Conversely, at >5 IFU/ml, a single PCR determination is 95% sensitive for detecting C. pneumoniae , and replicates would not increase sensitivity further. table ft1 table-wrap mode="anchored" t5 TABLE 2 caption a7 Probit a C. pneumoniae concn (IFU/ml) b No. of replicates needed to achieve sensitivity of c : 50% 80% 90% 95% 0.01 0.01 69 161 230 299 0.05 0.03 14 32 45 59 0.10 0.05 7 16 22 29 0.20 0.09 4 8 11 14 0.30 0.15 2 5 7 9 0.40 0.24 2 4 5 6 0.50 0.35 1 3 4 5 0.60 0.53 1 2 3 4 0.70 0.81 1 2 2 3 0.80 1.34 1 1 2 2 0.90 2.70 1 1 1 2 0.95 4.79 1 1 1 1 0.99 14.10 1 1 1 1 Open in a separate window a Probit, predicted proportion of replicates positive from probit regression analysis (SPSS), based on 10 replicates of 16 dilutions of C. pneumoniae ATCC VR-1310 (see the text). b C. pneumoniae ATCC VR-1310 concentration as calculated from probit analysis. c Replicates calculated in Microsoft Excel spreadsheet from the following equation: probability (at least 1 positive in n replicates) = 1 − (1 − probit) n . Relationship between the predicted number of PCR replicates needed to achieve various test sensitivities and C. pneumoniae concentrations In Fig. , the relationship between increasing number of replicates and overall test sensitivity is presented in graphical form, with the curve for the 10 replicate PCR curve on the far left and that for a single PCR on the far right.

Techniques: Concentration Assay, Nested PCR

Journal:

Article Title: Replicate PCR Testing and Probit Analysis for Detection and Quantitation of Chlamydia pneumoniae in Clinical Specimens

doi: 10.1128/JCM.39.5.1796-1801.2001

Figure Lengend Snippet: Comparison of probit regression curves for a non-nested (●) and nested (▴) C. pneumoniae PCR (SPSS). The probit (predicted proportion of replicates positive) versus the C. pneumoniae ATCC VR-1310 concentration was obtained from 10 replicates of 16 dilutions (see the text).

Article Snippet: Conversely, at >5 IFU/ml, a single PCR determination is 95% sensitive for detecting C. pneumoniae , and replicates would not increase sensitivity further. table ft1 table-wrap mode="anchored" t5 TABLE 2 caption a7 Probit a C. pneumoniae concn (IFU/ml) b No. of replicates needed to achieve sensitivity of c : 50% 80% 90% 95% 0.01 0.01 69 161 230 299 0.05 0.03 14 32 45 59 0.10 0.05 7 16 22 29 0.20 0.09 4 8 11 14 0.30 0.15 2 5 7 9 0.40 0.24 2 4 5 6 0.50 0.35 1 3 4 5 0.60 0.53 1 2 3 4 0.70 0.81 1 2 2 3 0.80 1.34 1 1 2 2 0.90 2.70 1 1 1 2 0.95 4.79 1 1 1 1 0.99 14.10 1 1 1 1 Open in a separate window a Probit, predicted proportion of replicates positive from probit regression analysis (SPSS), based on 10 replicates of 16 dilutions of C. pneumoniae ATCC VR-1310 (see the text). b C. pneumoniae ATCC VR-1310 concentration as calculated from probit analysis. c Replicates calculated in Microsoft Excel spreadsheet from the following equation: probability (at least 1 positive in n replicates) = 1 − (1 − probit) n . Relationship between the predicted number of PCR replicates needed to achieve various test sensitivities and C. pneumoniae concentrations In Fig. , the relationship between increasing number of replicates and overall test sensitivity is presented in graphical form, with the curve for the 10 replicate PCR curve on the far left and that for a single PCR on the far right.

Techniques: Concentration Assay

Journal:

Article Title: Replicate PCR Testing and Probit Analysis for Detection and Quantitation of Chlamydia pneumoniae in Clinical Specimens

doi: 10.1128/JCM.39.5.1796-1801.2001

Figure Lengend Snippet: Predicted probability of PCR positive test versus the C. pneumoniae concentration for nested PCR by number of replicates. Replicates of 10, 5, 3, or 2 versus single PCR illustrated from left to right. Single PCR curves obtained from probit regression analysis of 10 replicates of 16 dilutions of C. pneumoniae ATCC VR-1310 (see text) are also shown. The remaining four curves were calculated in the spreadsheet program Microsoft Excel using the following formula: probability (at least 1 positive in n replicates) = 1 − (1 − probit)n.

Article Snippet: Conversely, at >5 IFU/ml, a single PCR determination is 95% sensitive for detecting C. pneumoniae , and replicates would not increase sensitivity further. table ft1 table-wrap mode="anchored" t5 TABLE 2 caption a7 Probit a C. pneumoniae concn (IFU/ml) b No. of replicates needed to achieve sensitivity of c : 50% 80% 90% 95% 0.01 0.01 69 161 230 299 0.05 0.03 14 32 45 59 0.10 0.05 7 16 22 29 0.20 0.09 4 8 11 14 0.30 0.15 2 5 7 9 0.40 0.24 2 4 5 6 0.50 0.35 1 3 4 5 0.60 0.53 1 2 3 4 0.70 0.81 1 2 2 3 0.80 1.34 1 1 2 2 0.90 2.70 1 1 1 2 0.95 4.79 1 1 1 1 0.99 14.10 1 1 1 1 Open in a separate window a Probit, predicted proportion of replicates positive from probit regression analysis (SPSS), based on 10 replicates of 16 dilutions of C. pneumoniae ATCC VR-1310 (see the text). b C. pneumoniae ATCC VR-1310 concentration as calculated from probit analysis. c Replicates calculated in Microsoft Excel spreadsheet from the following equation: probability (at least 1 positive in n replicates) = 1 − (1 − probit) n . Relationship between the predicted number of PCR replicates needed to achieve various test sensitivities and C. pneumoniae concentrations In Fig. , the relationship between increasing number of replicates and overall test sensitivity is presented in graphical form, with the curve for the 10 replicate PCR curve on the far left and that for a single PCR on the far right.

Techniques: Concentration Assay, Nested PCR